TY - GEN
T1 - The deployment of mobile edges in vehicular environments
AU - El-Sayed, Hesham
AU - Chaqfeh, Moumena
N1 - Funding Information:
ACKNOWLEDGMENT This research was supported by the Roadway, Transportation, and Traffic Safety Research Center (RTTSRC) of the United Arab Emirates University (grant number 31R50 8).
Publisher Copyright:
© 2018 IEEE.
PY - 2018/4/19
Y1 - 2018/4/19
N2 - The provision of online traffic information and applications in vehicular environment can be offered via fixed ground Roadside Units (RSUs). Nevertheless, employing flying RSUs that are carried by Unmanned Aerial Vehicles (UAVs) would bring the capabilities of Mobile Edge Computing (MEC) to the vehicular environment, where they can be deployed dynamically in accordance to traffic safety events and congestion conditions. In this paper, we propose a novel method for the deployment of flying RSUs based on swarm intelligence. Our proposed method relies on two fundamental properties of the dynamic deployment of edges in vehicular environments, which are self-organization and the division of workload among RSUs. These two properties are necessary and sufficient to obtain a swarm intelligent behavior. The term 'swarm' can refer to any restrained collection of interacting agents or individuals, which are - in this case - the travelling vehicles and RSUs.
AB - The provision of online traffic information and applications in vehicular environment can be offered via fixed ground Roadside Units (RSUs). Nevertheless, employing flying RSUs that are carried by Unmanned Aerial Vehicles (UAVs) would bring the capabilities of Mobile Edge Computing (MEC) to the vehicular environment, where they can be deployed dynamically in accordance to traffic safety events and congestion conditions. In this paper, we propose a novel method for the deployment of flying RSUs based on swarm intelligence. Our proposed method relies on two fundamental properties of the dynamic deployment of edges in vehicular environments, which are self-organization and the division of workload among RSUs. These two properties are necessary and sufficient to obtain a swarm intelligent behavior. The term 'swarm' can refer to any restrained collection of interacting agents or individuals, which are - in this case - the travelling vehicles and RSUs.
KW - Deployment
KW - Flying RSUs
KW - Intelligent Transportation Systems (ITS)
KW - Optimization
KW - Vehicular Environment
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U2 - 10.1109/ICOIN.2018.8343133
DO - 10.1109/ICOIN.2018.8343133
M3 - Conference contribution
AN - SCOPUS:85047011504
T3 - International Conference on Information Networking
SP - 322
EP - 324
BT - 32nd International Conference on Information Networking, ICOIN 2018
PB - IEEE Computer Society
T2 - 32nd International Conference on Information Networking, ICOIN 2018
Y2 - 10 January 2018 through 12 January 2018
ER -